Data Analytics & Visualization Engineer - TS/SCI with Polygraph

Responsibilities for this Position

Location: USA VA Chantilly
Full Part/Time: Full time
Job Req: RQ212982

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

Public Trust/Other Required:
None

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
Data Analytics, Data Modeling, Data Visualization, Structured Query Language (SQL), Tableau Dashboard Development
Certifications:
None
Experience:
8 + years of related experience
US Citizenship Required:
Yes

Job Description:

As a Data Analytics & Visualization Engineer , you will play a key role in transforming complex data into actionable insights through advanced analytics and high-impact visualizations. You will partner closely with analytics, engineering, and mission stakeholders to design, develop, and deliver Tableau-based dashboards that support operational awareness, performance monitoring, and executive decision-making.

You will:

• Design, build, and evolve analytics-ready data pipelines (ETL/ELT) that support scalable reporting and visualization use cases, ingesting structured and unstructured data from diverse sources.
• Lead the development of advanced Tableau dashboards and visual analytics products , emphasizing clarity, usability, and decision support for operational and executive audiences.
• Translate complex datasets into clear, intuitive visual stories that communicate trends, risks, and performance insights.
• Partner with analytics and engineering teams to operationalize data products into production-ready dashboards and reporting workflows.
• Participate across the full analytics development lifecycle, including requirements gathering, data modeling, dashboard design, testing, deployment, and iterative refinement.
• Present dashboard insights, trends, and analytical findings to internal customers and leadership, tailoring content for technical and non-technical audiences.
• Collaborate with design and product teams to implement modern visualization techniques , UX best practices, and interactive analytics.
• Support and continuously enhance analytics and visualization platforms, ensuring performance, scalability, and data integrity.

Required Qualifications

• Education: Bachelor's degree in Statistics, Computer Science, Mathematics, Data Analytics, or a related quantitative field with 8+ years of relevant experience ,
  OR
  5+ years of relevant experience in data analytics, visualization, or analytics engineering in lieu of a degree.
• Clearance: Active TS/SCI with Polygraph
• Experience developing data pipelines and analytics workflows using Python or similar modern analytics languages.
• Strong proficiency in SQL and data modeling to support analytical and visualization use cases.
• Hands-on experience developing visual analytics and dashboards , with demonstrated proficiency in Tableau .
• Experience designing dashboards for operational monitoring, trend analysis, and executive reporting .
• Strong communication skills, with the ability to clearly explain analytical findings and visualization design decisions.
• Analytical mindset with attention to data quality, consistency, and interpretability.

Preferred Qualifications

• Experience collaborating with users to refine analytical questions and resolve data or visualization challenges through investigation and iterative improvement.
• Power BI experience for dashboard development or cross-platform visualization environments.
• Tableau or other data visualization certifications.
• Background in data visualization best practices, UX/UI principles, or visual analytics design .
• Experience automating analytics workflows and data preparation using Python.
• Experience with API-based data ingestion and integration.
• Familiarity with cloud platforms such as AWS, Azure, or GCP .
• Optional experience with containerized environments (e.g., Docker).
• Experience working in Agile environments using tools such as GitLab, Git, and CI/CD pipelines.
• Knowledge of open-source analytics and visualization ecosystems.

GDIT is Your Place:
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#GDITcareers #OpportunityOwned

#WeAreGDIT #transitioningmilitary

#clearedjobs #veterans #Autobots

The likely salary range for this position is $127,500 - $172,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Onsite

Work Location:
USA VA Chantilly

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PI285789281

As a Data Analytics & Visualization Engineer , you will play a key role in transforming complex data into actionable insights through advanced analytics and high-impact visualizations. You will partner closely with analytics, engineering, and mission stakeholders to design, develop, and deliver Tableau-based dashboards that support operational awareness, performance monitoring, and executive decision-making.


You will:

• Design, build, and evolve analytics-ready data pipelines (ETL/ELT) that support scalable reporting and visualization use cases, ingesting structured and unstructured data from diverse sources.
• Lead the development of advanced Tableau dashboards and visual analytics products , emphasizing clarity, usability, and decision support for operational and executive audiences.
• Translate complex datasets into clear, intuitive visual stories that communicate trends, risks, and performance insights.
• Partner with analytics and engineering teams to operationalize data products into production-ready dashboards and reporting workflows.
• Participate across the full analytics development lifecycle, including requirements gathering, data modeling, dashboard design, testing, deployment, and iterative refinement.
• Present dashboard insights, trends, and analytical findings to internal customers and leadership, tailoring content for technical and non-technical audiences.
• Collaborate with design and product teams to implement modern visualization techniques , UX best practices, and interactive analytics.
• Support and continuously enhance analytics and visualization platforms, ensuring performance, scalability, and data integrity.

Required Qualifications

• Education: Bachelor's degree in Statistics, Computer Science, Mathematics, Data Analytics, or a related quantitative field with 8+ years of relevant experience ,
  OR
  5+ years of relevant experience in data analytics, visualization, or analytics engineering in lieu of a degree.
• Clearance: Active TS/SCI with Polygraph
• Experience developing data pipelines and analytics workflows using Python or similar modern analytics languages.
• Strong proficiency in SQL and data modeling to support analytical and visualization use cases.
• Hands-on experience developing visual analytics and dashboards , with demonstrated proficiency in Tableau .
• Experience designing dashboards for operational monitoring, trend analysis, and executive reporting .
• Strong communication skills, with the ability to clearly explain analytical findings and visualization design decisions.
• Analytical mindset with attention to data quality, consistency, and interpretability.

Preferred Qualifications

• Experience collaborating with users to refine analytical questions and resolve data or visualization challenges through investigation and iterative improvement.
• Power BI experience for dashboard development or cross-platform visualization environments.
• Tableau or other data visualization certifications.
• Background in data visualization best practices, UX/UI principles, or visual analytics design .
• Experience automating analytics workflows and data preparation using Python.
• Experience with API-based data ingestion and integration.
• Familiarity with cloud platforms such as AWS, Azure, or GCP .
• Optional experience with containerized environments (e.g., Docker).
• Experience working in Agile environments using tools such as GitLab, Git, and CI/CD pipelines.
• Knowledge of open-source analytics and visualization ecosystems.

GDIT is Your Place:
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.